Genetic Algorithm-Based Parameters Optimization for the PID Controller Applied in Heave Compensation System

You Gang Sun; Hai Yan Qiang; Xiao Ming Sheng

doi:10.4028/www.scientific.net/AMM.556-562.2462

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562Genetic Algorithm-Based Parameters Optimization...

Genetic Algorithm-Based Parameters Optimization for the PID Controller Applied in Heave Compensation System

Abstract:

To reduce the negative impact of the unexpected motion in the heave direction when hoisting on the sea, a heave compensation system is indispensable for a floating crane. In this paper, a genetic algorithm-based PID controller is presented to improve the dynamic performance of the heave compensation system. A simulation model of electro-mechanical and hydraulic integrated system of the heave compensation system is built. The simulation results show that the genetic algorithm-based PID control system improves the dynamic characteristics, strengthens the stability and rapidity of the system and even ensures the control effect of the heave compensation system.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

2462-2465

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.2462

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Online since:

May 2014

Authors:

You Gang Sun*, Hai Yan Qiang, Xiao Ming Sheng

Keywords:

Genetic Algorithm (GA), Heave Compensation, Hydraulic Servo System, PID Controller

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* - Corresponding Author

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